Abstract: A brake system for a vehicle is disclosed and includes an energy storage device configured to store and discharge energy, a plurality of wheels, one or more processors operatively coupled to the energy storage device, and a memory coupled to the one or more processors. The memory stores data comprising a database and program code that, when executed by the one or more processors, causes the brake system to determine the brake system is operating in a backup mode of operation. In response to determining the brake system is operating in the backup mode of operation, the brake system calculates a dynamic slip of the plurality of wheels. The brake system is caused to determine a slip error by comparing the dynamic slip with a target slip value of the plurality of wheels. The brake system is also caused to calculate an antiskid command based on the slip error.

Abstract: The present application relates to a method and apparatus for prevention of unintended lane change maneuver in an ADAS equipped motor vehicle performed by a sensor for detecting a driver engagement level, a memory operative to store the driver engagement level, a user interface for providing a user alert in response to an alert signal, a selector operative to generate a request for a lane change operation, and a processor operative to receive the request for the lane change operation, to compare the driver engagement level to a threshold engagement level, and to generate the alert signal in response to the driver engagement level being less than the threshold engagement level.

Abstract: A navigation method, a navigation terminal, and a server is disclosed. The method in the embodiments of the present disclosure includes: obtaining, by a navigation terminal, first navigation information; generating, by the navigation terminal, a first navigation route according to the first navigation information; sending, by the navigation terminal, information about the first navigation route to a server; receiving, by the navigation terminal, second navigation information sent by the server, where the second navigation information includes a real-time route parameter of the first navigation route; and when the real-time route parameter of the first navigation route satisfies a preset condition, effectuating, by the navigation terminal, a navigation window to pop up or automatically adjusting content presented in a navigation window.

Abstract: According to one embodiment, in response to a request for a three-point turn, a set of forward turning paths is generated based on a maximum forward turning angle associated with an ADV. A set of backward tuning paths is generated based on a maximum backward turning angle associated with the ADV. A set of three-point turn path candidates is generated based on the forward turning paths and the backward turning paths. For each of the three-point turn path candidates, a path cost is calculated using a predetermined cost function. One of the three-point turn path candidates with the lowest path cost is selected as the final three-point turn path to drive the ADV to make a three-point turn.

Abstract: In a vehicle braking assistance apparatus, a detection unit detects a target object in a traveling lane of an own vehicle. A braking assistance level determination unit, which determines a braking assistance level of the own vehicle by a braking device, determines, upon detecting a cut-in vehicle that has changed a travelling course to the travelling lane of the own vehicle using a detection signal from the detection unit, whether the cut-in vehicle is accelerable. The braking assistance level determination unit sets the braking assistance level of the braking to a high value that is higher than a standard value upon determining that the cut-in vehicle is not accelerable.

Abstract: A system for controlling an unmanned aerial vehicle (UAV) includes smart glasses and a remote controller. The smart glasses are configured to establish a first channel directly with the UAV, receive first person view (FPV) image data directly from the UAV through the first channel, and display the FPV image data. The remote controller is configured to establish a second channel directly with the UAV, and send a flight control instruction directly to the UAV through the second channel.

Abstract: A vehicular communication apparatus is configured to be mounted on a movable body and to receive movement data related to movements of other movable bodies. The apparatus includes an acquiring unit, a memory, and a data managing unit. The acquiring unit is configured to acquire the movement data on the other movable bodies. The memory is configured to store and record therein the movement data acquired by the acquiring unit. The data managing unit is configured to manage the record of the movement data in the memory. The data managing unit is configured to acquire a virtual speed of each movable body that is obtained from the movement data recorded in the memory, and invalidate or delete the movement data recorded in the memory on a movable-body by movable-body basis, in accordance with the acquired virtual speed of each movable body.

Abstract: Embodiments of the present disclosure relate generally to generating and utilizing three-dimensional terrain maps for vehicular control. Other embodiments may be described and/or claimed.

Abstract: A system, comprising a computer that includes a processor and a memory, the memory storing instructions executable by the processor to detect and locate an object by processing video camera data with a capsule network, wherein training the capsule network includes determining routing coefficients with a scale-invariant normalization function. The computer can be further programmed to receive the detected and located object.

Abstract: This vehicle control system is provided with an input monitoring unit and a determination time changing unit. When a state in which first target data is not input to a second control unit continues for a first determination time or longer, the input monitoring unit determines the first target data to be in a non-input state. When a state in which second target data is not input to the second control unit continues for a second determination time or longer, the input monitoring unit determines the second target data to be in a non-input state. When the first target data is determined to be in a non-input state, the determination time changing unit shortens the second determination time.

Abstract: A method for an autonomous vehicle includes: receiving first object data from a first sensor module; receiving second object data from a second sensor module; comparing the first object data to the second object data; determining, based on comparing the first object data to the second object data, whether the first object data corresponds to the second object data; and in response to determining that the first object data does not correspond to the second object data, performing an action for the autonomous vehicle.

Abstract: Embodiments of the present disclosure relate generally to generating and utilizing three-dimensional terrain maps for vehicular control. Other embodiments may be described and/or claimed.

Abstract: Smart car operations are detailed. The system uses neural network and population statistics to determine whether a vehicle operation is reasonably safe operation of the autonomous vehicle to guide the operation of cars as a group.

Abstract: Improved control of cruise control for a vehicle, in particular an automated activation of cruise control. For this purpose, the speed of the vehicle is monitored. If the speed of the vehicle and/or a distance between the vehicle and a further vehicle in front of the vehicle is within a predetermined range for a specific period of time it is indicated to a user that cruise control can be activated. Accordingly, cruise control can be automatically activated after providing the indication to the user, or a user may respond to this indication by providing a specific activity such as a release of the acceleration pedal.

Abstract: At an application executing in a device in a vehicle, a phrase is detected in a conversation occurring between two users. A determination is made that the phrase is usable in providing a navigation directive. Using NLP, a deep parsing the conversation is performed to extract a context applicable to the phrase. the context is evaluated to determine whether the context is related to a navigation of the vehicle. At the device, from the conversation, a future location is computed of the vehicle during the navigation. Using data from a data source, a suboptimal driving condition is identified on a route between a present location of the vehicle and the future location. A user in the vehicle is alerted about the suboptimal driving condition on the route.

Abstract: Example systems and methods are disclosed for implementing vehicle operation limits to prevent vehicle load failure during vehicle teleoperation. The method may include receiving sensor data from sensors on a vehicle that carries a load. The vehicle may be controlled by a remote control system. The load weight and dimensions may be determined based on the sensor data. In order to prevent a vehicle load failure, a forward velocity limit and an angular velocity limit may be calculated. Vehicle load failures may include the vehicle tipping over, the load tipping over, the load sliding off of the vehicle, or collisions. The vehicle carrying the load may be restricted from exceeding the forward velocity limit and/or the angular velocity limit during vehicle operation. The remote control system may display a user interface indicating to a remote operator the forward velocity limit and the angular velocity limit.

Abstract: The present disclosure relates to systems and methods for distributing service requests for an on-demand service. The systems may perform the methods to obtain the service request; determine first information related to the service request, wherein the first information comprises at least one of a start location, a destination, or a start time; determine reference information based at least in part on the first information related to the service request; generate a modified service request based on the service request and the reference information; and send the modified service request to the at least one provider terminal.

Abstract: Aspects described herein provide a computer-implemented method and system for grouping topographic data based on the context of said data without the operator needing to make any assumptions. For each vector feature, its context, that is, information about the adjacent features, is incorporated in to the associated attribution data. In doing this, the system is able to characterise all of the vector features in a geographical area based on its context, from which patterns emerge. These patterns indicate features that have similar contexts, enabling the system to group the vector features according to their contexts based on their characteristics and attributes. Conversely, features that are anomalous within the region, that is, they do not fit the pattern of the surrounding features, are also identified. This is particularly important for identifying and resolving errors in the underlying topographic data.

Abstract: A method for control of a rear-axle steering of a motor vehicle. A steering angle of wheels of a rear axle is set. Upon reaching a predetermined lateral acceleration of the motor vehicle, the steering angle and/or the gradient of the steering angle of the wheels of the rear axle is limited as a function of a coefficient of friction of a roadway surface on which the motor vehicle is moving.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying high-priority agents in the vicinity of a vehicle and, for only those agents which are high priority agents, generating data characterizing the agents using a first prediction model. In a first aspect, a system identifies multiple agents in an environment in a vicinity of a vehicle. The system generates a respective importance score for each of the agents by processing a feature representation of each agent using an importance scoring model. The importance score for an agent characterizes an estimated impact of the agent on planning decisions generated by a planning system of the vehicle which plans a future trajectory of the vehicle. The system identifies, as high-priority agents, a proper subset of the plurality of agents with the highest importance scores.